Efficient Estimation of Spatial Econometric Interaction Models for Sparse OD Matrices

Christine Thomas-Agnan and Lukas Dargel

No 23-1409, TSE Working Papers from Toulouse School of Economics (TSE)

Abstract: In the framework of spatial econometric interaction models for origin-destination flows, we develop an estimation method for the case when the list of origins may be distinct from the list of destinations, and when the origin-destination matrix may be sparse. The proposed model resembles a weighted version of the one of LeSage (2008) and we are able to retain most of the efficiency gains associated with the matrix form estimation, which we illustrate for the maximum likelihood estimator. We also derive computationally feasible tests for the coherence of the estimation results and present an efficient approximation of the conditional expectation of the flows, marginal effects and predictions.

Keywords: Spatial Econometric; Interaction Models; Zero Flow Problem; OD Matrices; Networks (search for similar items in EconPapers)
JEL-codes: C21 C51 (search for similar items in EconPapers)
Date: 2023-02-08
New Economics Papers: this item is included in nep-ecm, nep-geo, nep-net and nep-ure
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Persistent link: https://EconPapers.repec.org/RePEc:tse:wpaper:127843

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